TekWissen is a global workforce management provider throughout India and many other countries in the world.
Work Mode: Work From Office (5 days)
Work Time: UK Shifts (1.30 pm - 10.30 pm)
Job Type: Full time
Job Description:
Key responsibilities
- Build production GenAI solutions: RAG pipelines and AI agents using any one of Semantic Kernel, LangGraph, AutoGen or LlamaIndex.
- Apply LLM evaluation, guardrails and prompt strategies; tune for latency and throughput.
- Review code and set engineering standards.
- Turn business needs into AI architectures across data, models and workflows.
- Select suitable LLMs/SLMs and deployment approaches (API, fine-tuning, orchestration).
- Design with security, compliance and governance in mind.
- Integrate solutions with the client’s existing IT estate.
3. Estimation, proposals and cost
- Support sales with solution plans and proposals; own the technical sections.
- Produce effort, timeline and cost estimates, including AI token and compute costs.
- Run feasibility checks and proofs of concept.
4. Technical leadership and delivery
- Guide engineers and data teams through implementation.
- Present designs and trade-offs to clients and internal stakeholders.
Required skills and qualifications
- 6–10 years in software or data engineering, with 4+ years in AI/ML and at least one production AI/GenAI system delivered.
- Hands-on with LLMs, RAG and agent frameworks (any one of Semantic Kernel, LangGraph, AutoGen, LlamaIndex).
- Cloud AI experience on Azure, AWS or GCP (Azure preferred).
- Has designed or co-designed AI solution architectures, and contributed to estimates or proposals.
- Working knowledge of cloud security, cost management and ML fundamentals.
- Strong Python and good communication skills; comfortable with client-facing discussions.
- Willing to work onsite in Whitefield, Bangalore on UK shift hours.
Preferred skills
- 2+ years on the Azure AI ecosystem; Vertex AI or OpenAI exposure.
- Multi-agent systems, LLM fine-tuning, inference optimisation, advanced RAG (re-ranking, multi-vector indexing).
- MLOps/LLMOps, vector databases, AI landing zones and FinOps.
- Pre-sales or consulting experience; cloud certifications ("e.g. AI-102").
- 8+ years of experience.
TekWissen® Group is an equal opportunity employer supporting workforce diversity.