Become an AI Research Scientist.

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.

AI Engineers build production systems on top of large language models — RAG search, agents, fine-tuned models, prompt-orchestration pipelines, and the evals and guardrails that keep them reliable. The work sits between traditional software engineering and applied ML: you write Python services, design retrieval pipelines (vector search, BM25, rerankers), pick or fine-tune the right base model, write evals that quantify quality, and ship features against latency and cost SLOs. In India through 2026, the role is one of the fastest-growing technical hires — concentrated at fintechs (Razorpay, Cred, Paytm), SaaS companies (Freshworks, Zoho, Postman, Atlan, Hasura), AI-native startups (Sarvam AI, Krutrim, Ola Krutrim, Yellow.ai), and the GCCs of Microsoft, Google, Adobe, and Salesforce — and pays a clear premium over generalist backend roles.

Senior: ₹90.0L

Generative AI Engineers build and ship systems that produce images, text, audio, and video — integrating APIs like OpenAI's DALL-E 3, Stability AI's SDXL, and Anthropic's Claude into product features, running Stable Diffusion inference pipelines on AWS/GCP GPUs, fine-tuning ControlNet and LoRA adapters on proprietary datasets, and orchestrating multi-modal generation workflows with quality and safety guardrails. In India through 2026, the role is concentrated at image-tech companies (Glance, InMobi, Meesho's catalog team), conversational-AI startups (Yellow.ai, Haptik, Niki AI), design-automation tools (Adobe Firefly India team), and the GCCs of Microsoft, Adobe, and Nvidia — with a fast-growing fringe of Stable-Diffusion startups building for e-commerce product shots, ad-creative automation, and Indic-language content generation. The role sits between classical ML engineering and software engineering: you own the model pipelines and the API integrations that make generation reliable, fast, and cost-efficient at product scale — not the fundamental model research.

Senior: N/A

Quantum Computing Engineers design quantum circuits, implement variational algorithms such as VQE and QAOA in Qiskit, Cirq, or PennyLane, and run experiments on real quantum processors via IBM Quantum, IonQ, or AWS Braket — benchmarking results against classical baselines to demonstrate quantum advantage. In India the field is at an early commercial stage: meaningful roles exist at IBM Research India's quantum group in Bengaluru, TCS Research's quantum computing lab, Tech Mahindra's quantum practice, QpiAI, BosonQ Psi, and a small number of IIT and IISc faculty-led labs receiving funding under the National Quantum Mission (₹6,003 Cr over 2023-31). The role sits at the intersection of physics and software engineering — you are expected to understand hardware noise models and decoherence time windows as well as write production-quality Python. A PhD in physics, computer science, or electrical engineering is the dominant entry credential; MS + strong qubit-circuit portfolio is the minimum viable alternative.

Senior: N/A

Marine biologists in India study ocean ecosystems — coral reefs, mangroves, seagrass beds, fisheries, and open-water biodiversity — from field stations and research vessels operated by ICAR-CMFRI Kochi, NIO Goa, CSIR-NIOT Chennai, and ZSI Marine Stations (Andaman, Chennai, Calicut). Work spans fish stock assessment using Maximum Sustainable Yield models, coral bleaching monitoring under GCRMN and Reef Check protocols, MPA management planning, and IUU fishing research fed into INCOIS databases. Conservation NGOs — DAKSHIN Foundation (Goa), Reef Watch India (Bengaluru) — hire field biologists for turtle nesting surveys and reef health monitoring. Entry requires M.Sc Marine Biology/Oceanography from CUSAT, Goa University, Annamalai, or BHU; competitive research positions demand a PhD plus CSIR-NET or ICMR-JRF clearance.

Senior: N/A

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.

Senior: ₹70.0L