Senior GenAI Engineer is pivotal in developing cutting-edge AI platforms and systems within MI—TS—R&I, directly influencing global technology standards and Nokia's future connectivity.
You will be responsible for the end-to-end implementation of advanced AI solutions, from model selection and fine-tuning to deploying production agentic systems that empower researchers and automate complex workflows.
Responsibilities- State‑of‑the‑art agents: build plan‑act‑verify systems with structured tool/function calling, orchestration graphs/state machines, routing, and task memory/state.
- Production readiness: design reliable tools/APIs (schemas, versioning), idempotency, timeouts/retries, rate limits, caching, safe termination, and deterministic fallbacks; integrate sandboxes where needed.
- Agent evaluation & harnesses: scenario‑based end‑to‑end success metrics plus trajectory/step scoring, tool‑use correctness, grounding/citation fidelity, robustness, and security red‑teaming; wire regression evals into CI/CD.
- RAG & knowledge integration: hybrid search, reranking, chunking, long‑context routing and (where useful) graph/ontology augmentation with strong grounding.
- LLMOps & platform engineering: reproducible pipelines for data curation, SFT/PEFT (e.g., LoRA), quantization/distillation, release/rollback; operate serving stacks and optimize GPU utilization, latency and cost.
- Safety & observability: prompt‑injection/exfiltration defenses, least‑privilege access controls, compliance‑ready logging; tracing across agent steps/tool calls and telemetry‑driven iteration.
- Developer experience & collaboration: SDKs/templates/docs and reference architectures; partner with researchers, product teams and IT/security to translate workflows into reliable AI capabilities.
Must-have:
- MS in Computer Science, AI/ML, Telecommunications or related field (or equivalent practical experience).
- Hands‑on experience deploying and operating LLMs in production; familiarity with modern serving stacks (vLLM/TGI/Triton/TensorRT‑LLM/llama.cpp) and GPU fundamentals. LLMOps/MLOps: CI/CD, experiment tracking, model registry, containers, Kubernetes and infrastructure‑as‑code.
- Strong RAG knowledge: embeddings, vector DBs, rerankers, document processing pipelines and grounding/citation.
- Practical experience building tool‑using agents and orchestrations (LangGraph/LangChain, Semantic Kernel or custom), including reliable tool APIs and schemas.
- Experience productionizing agentic systems: reliability patterns, safety gates, access control and audit logging.
- Experience with evaluation & observability: scenario suites, regression harnesses, tracing, prompt/version management, A/B tests and guardrails.
Nice-to-have:
- Fine‑tuning (SFT, DPO/IPO), PEFT/LoRA, synthetic data and data quality tooling.
- Multimodal models (doc understanding/OCR, speech/audio) in enterprise settings.
- Privacy‑preserving ML/confidential computing or secure enclaves for inference.
- Domain knowledge in telecom/radio/multimedia/networking/standards; publications or open‑source in LLM/agent systems.
How you work
- Pragmatic and impact‑driven: start from user workflows, ship iteratively, and measure outcomes.
- Correctness and safety first: design for failure modes, test extensively, and treat security as a first‑class requirement.
- Collaborative and communicative: clear documentation, reviews and cross‑functional partnering.
Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world.
Our recruitment process
We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.
If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.
The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia.
- Flexible and hybrid working arrangements to support work–life balance
- A minimum of 90 days of Maternity and Paternity Leave based on eligibility
- Edenred benefit voucher - 400€ per year
- Annual bonus - based on individual and company performance
- Health and well-being support - occupational health services, well-being programs, employee resource groups, reimbursement for spectacle lenses, life insurance and gyms at every site
- Personal Support Service 24/7 – a confidential support channel open to all Nokia employees and their families in challenging situations
- Share in Success – voluntary employee share purchase plan
- Employee Referral program – reward yourself and support Nokia by referring a friend to apply to Nokia
- Career growth & learning - technical career path, job rotation, coaching and digital learning platforms
- Car benefit – the eligibility for a company car is based on employee’s job grade
Top Skills
Nokia Gurugram, Haryana, IND Office
Sector 62, , Ghata, Gurugram, Haryana, India, 122102
