Become a GraphQL Developer.

NLP Engineers build production language systems — Indic-language models, automatic speech recognition (ASR) and synthesis (TTS), document understanding for enterprise paperwork, IVR and voice-bot stacks for Indian customer support, named-entity recognition and information extraction, and the increasingly common multimodal pipelines that fuse text with vision and speech. The work blends applied research, production engineering, and dataset craft: you train and fine-tune transformer models for low-resource Indic languages, curate parallel corpora and labeled datasets, optimize inference for cost, debug failure modes that only show up in code-mixed Hindi-English speech or in handwritten Tamil documents, and own quality SLOs that mix accuracy, latency, and fairness across 22 official Indian languages. In India through 2026, NLP is one of the highest-impact applied-AI specializations because the global English-first NLP literature transfers poorly to Indic languages — concentrated demand sits at AI-native startups (Sarvam AI, Krutrim, Ola Krutrim, Yellow.ai), the public-good NLP groups at AI4Bharat (IIT-Madras) and Bhashini (Government of India), enterprise SaaS (Freshworks, Zoho ZIA, Postman, Verloop, Haptik), fintech (Razorpay, Cred, Paytm, M2P, IDfy), and the GCCs of Microsoft, Google, Adobe, and Amazon.

Power BI Developers design, build, and maintain the BI layer that turns raw enterprise data into decision-grade dashboards for finance, operations, sales, and supply-chain teams. The core loop is: connecting heterogeneous sources via Power Query (M language), modelling star schemas with fact and dimension tables, writing DAX measures and calculated columns for time-intelligence and KPI logic, publishing to Power BI Service workspaces, enforcing row-level security policies, and tuning slow reports by reducing visual-query counts and optimising DirectQuery folding. In India, this role is the Microsoft-stack alternative to Tableau development — deeply embedded in the M365-heavy enterprises: TCS, Infosys Nia practice, Wipro's Microsoft Business Applications unit, Mahindra Group, Tata Group digital, L&T Infotech (LTIMindtree), HCL, and every banking captive running Azure Synapse or Fabric. Demand spiked in 2024-2026 as Microsoft Fabric (Lakehouse, Semantic Model, Dataflows Gen2) expanded the Power BI surface area and pushed experienced developers into the ₹18-40L band.

Keep production systems fast, available, and observable for millions of users — by writing software that automates operations, runs capacity planning, designs SLOs and error budgets, and owns the on-call rotation for critical services. The role sits between software engineering and operations: you write Go / Python / Rust code, build reliability tooling, design distributed systems for resilience, run incident response, and push back on product launches that risk SLOs. In India, SRE is a premium specialization concentrated at FAANG-IN (Google SRE Bengaluru, Amazon, Microsoft IDC, Netflix India), product unicorns (Razorpay, Flipkart, Swiggy, Dream11, PhonePe, Zerodha), and the GCCs of high-traffic US firms (Uber, LinkedIn, Atlassian, GitHub, Cloudflare, Stripe). The work overlaps with DevOps but skews more toward software engineering: reliability is a product, not a process. Senior SRE pay in India sits at the very top of the technology bracket, often above equivalent SDE-3 backend roles.

Build and operate the internal developer platform — the CI/CD pipelines, Kubernetes clusters, service mesh, secrets management, observability stack, and IaC modules — that every other engineer in the company ships on. Platform engineers turn raw cloud (AWS/GCP/Azure) into a paved road: a developer pushes code, the platform takes it from commit to canary to production with logs, metrics, and rollback baked in. In India, the role is concentrated at product unicorns (Razorpay, Zerodha, CRED, PhonePe, Swiggy), GCCs of global firms (Microsoft, Atlassian, Stripe, Walmart Global Tech), and SaaS companies scaling past 200 engineers — typically the point at which a dedicated platform team starts paying for itself in shipping velocity.

Solutions Architects are the customer-facing technical role that bridges what a product can do and what a customer actually needs. They design end-to-end deployments, integrations, and migrations on behalf of the customer's engineering team — sizing infrastructure, mapping data flows, picking the right product modules, drafting reference architectures, and partnering with sales and customer-success to win and expand accounts. The role is genuinely hybrid: it requires deep technical depth (cloud, networking, security, distributed systems) and high verbal craft (workshops, executive presentations, written design docs that survive procurement and security review). In India through 2026, Solutions Architect is one of the highest-paid customer-facing technical roles, concentrated at the GCCs of cloud vendors (AWS India, Microsoft Azure India, Google Cloud India, Oracle, IBM), enterprise SaaS companies (Salesforce India, ServiceNow, Snowflake, Databricks, MongoDB, Confluent), B2B Indian product companies (Freshworks, Postman, Atlan, Hasura, Chargebee), and the systems-integrator giants (TCS, Infosys, Wipro, Accenture) where the role sits closer to delivery. Top-tier Solutions Architects in India routinely cross ₹1Cr total comp by L6+ and the role is a common path into VP-Engineering and Field-CTO seats.

Prompt Engineers design, evaluate, and ship LLM-powered features — system prompts, RAG flows, agent orchestration, structured-output schemas, and the eval harnesses that prove a prompt is actually better. The role sits between product, applied ML, and software engineering: you write prompts the way other engineers write code, run cost-quality-latency trade-off experiments, instrument grader pipelines, and own the part of the product that the LLM actually 'speaks.' In India through 2026, the role is one of the fastest-growing AI hires — concentrated at AI-native startups (Sarvam AI, Krutrim, Ola Krutrim, Atlan, Yellow.ai), product SaaS shops with a serious AI feature surface (Freshworks, Postman, Chargebee, Whatfix, Zoho ZIA), fintechs (Razorpay, Cred, Paytm), and the GCCs of Microsoft, Google, Adobe, and Salesforce. The salary band is unusually wide because the title is new and JDs vary from 'wrote one ChatGPT integration' to 'owns the eval harness for a frontier model.' Sarvam AI made several public crore-level offers to senior prompt and LLM engineers in 2025.

Flask / FastAPI Developers build lightweight, high-performance Python APIs that serve ML models, power microservices, and expose product data at scale. In India through 2026, the role is concentrated at ML-engineering teams (Flipkart's recommendation and pricing services, Swiggy's ETA prediction API, Razorpay's fraud-scoring endpoint), analytics platforms (Mu Sigma, Fractal Analytics, Tiger Analytics), and FastAPI-first unicorns (CRED, BharatPe, Slice) that chose Python over Node.js for their backend layer. The job demands native fluency in Pydantic v2 model validation, async/await endpoint design with ASGI (Uvicorn, Hypercorn), SQLAlchemy 2.0 async ORM, Alembic migrations, automatic OpenAPI doc generation, and dependency injection — not generic Python scripting. The unique India differentiator is model-serving: FastAPI developers here regularly wrap PyTorch / scikit-learn inference behind REST endpoints, proxy Triton Inference Server or vLLM calls, and own the latency SLAs for production ML pipelines in a way that Django developers rarely do.

Senior: ₹55.0L

Build and operate the internal developer platform — the CI/CD pipelines, Kubernetes clusters, service mesh, secrets management, observability stack, and IaC modules — that every other engineer in the company ships on. Platform engineers turn raw cloud (AWS/GCP/Azure) into a paved road: a developer pushes code, the platform takes it from commit to canary to production with logs, metrics, and rollback baked in. In India, the role is concentrated at product unicorns (Razorpay, Zerodha, CRED, PhonePe, Swiggy), GCCs of global firms (Microsoft, Atlassian, Stripe, Walmart Global Tech), and SaaS companies scaling past 200 engineers — typically the point at which a dedicated platform team starts paying for itself in shipping velocity.

Senior: ₹65.0L

Scala Developers write the type-safe, functionally-composed backend systems and big-data pipelines that power India's largest data-intensive platforms — Flipkart's real-time pricing engine, Walmart Labs India's Spark-on-EMR data lake, Razorpay's event-streaming infrastructure on Kafka, and Goldman Sachs Bengaluru's risk-computation grids all run significant Scala workloads. The role sits at the intersection of functional programming (type classes, monads, effect systems via Cats Effect or ZIO) and JVM-scale distributed computing (Apache Spark DataFrames/Datasets, Structured Streaming, Akka actor systems). In India through 2026, Scala demand is concentrated at Flipkart's data-platform team, Walmart Global Tech Bengaluru, CRED's backend, ThoughtWorks, and the technology arms of Goldman Sachs, JPMorgan, and Morgan Stanley that use Scala for proprietary trading infrastructure and risk analytics. Entry path is typically strong Java or Python background + self-taught Scala via Martin Odersky's Coursera specialisation or the Red Book; tooling fluency in SBT or Mill, and hands-on Spark or Akka experience differentiate candidates at interview.

Senior: N/A

Materials engineers in India work on metals, alloys, polymers, ceramics, composites, and nano-materials across steel, aluminium, copper, oil refining, aerospace structures, electronics, automotive, defence, and renewable energy industries. Employers include Tata Steel (Jamshedpur, Kalinganagar, IJmuiden), JSW Steel (Vijayanagar, Dolvi, Salav), SAIL, Hindalco (Aditya Birla — aluminium and copper), Vedanta Group (Sterlite Copper, Cairn Oil & Gas), Jindal Stainless, Bharat Forge, Mahindra, Maruti Suzuki, Tata Motors, plus aerospace materials work at ISRO LPSC and VSSC, DRDO DMRL Hyderabad and DMSRDE Kanpur, and nuclear materials at BARC. International R&D centres of GE, Rolls-Royce, Honeywell, and ArcelorMittal also hire materials engineers in India. Entry is via B.Tech / B.E. in Metallurgical or Materials Engineering, Ceramic Engineering, or Chemical Engineering from IIT BHU, IIT Bombay, IIT Madras, IIT Kharagpur, IIT Roorkee (MET), IISc, NIT Trichy/Rourkela/Surathkal/Warangal, often paired with M.Tech via GATE and a PhD for DRDO/BARC/CSIR scientist tracks.

Senior: ₹70.0L

Chemists in India have the deepest industrial absorption capacity of any science discipline — three giant lanes: (1) Pharma (Dr Reddy's, Cipla, Sun Pharma, Lupin, Aurobindo, Glenmark, Torrent, Zydus) for medicinal-chemistry, synthesis and analytical roles; (2) Speciality chemicals (Aarti Industries, SRF, Divi's Laboratories, PI Industries, Pidilite, Atul, Deepak Nitrite, Navin Fluorine, Vinati Organics) — India's largest export-driven chemistry sector; (3) Academic / CSIR (CSIR-NCL Pune, CSIR-IICT Hyderabad, CSIR-NCL, IISc, IIT Bombay/Madras/Kanpur Chemistry, NISER) — funded PhD through CSIR-UGC NET, GATE-CY, JAM. Entry-level synthesis chemists at speciality-chem majors are paid better than most CS new-grads. Pure analytical chemistry roles bridge into ARS at CSIR / FSSAI / pollution control boards. Strongest sub-specialties: medicinal chemistry, process chemistry, catalysis, materials chemistry, polymer chemistry.

Senior: ₹45.0L