Tech Mahindra
Website:
techmahindra.com
Job details:
Senior Consultant - AI Engineer (GenAI / Rapid Prototyping)
Location - Pune
Mode - Hybrid
Joining time required - Immediate to 30 Days only
Job Description:
Technical Skills
Strong engineering fundamentals (design, debugging, API integration, quality practices appropriate for prototypes).
Experience integrating LLMs into applications and workflows, including prompt iteration and response shaping.
Proficiency in Python and/or modern backend languages used for rapid prototyping.
Familiarity with orchestration patterns for LLM workflows (tool calling, multi-step flows) is a strong plus.
10+ years overall experience in software engineering, applied AI, data/analytics engineering, or related technical fields.
3+ years of relevant hands-on experience delivering GenAI/LLM-based solutions (prototype/MVP/POC experience strongly preferred).
This is a hands‑on senior IC role oriented toward POC execution and feasibility validation—not long‑term production ownership.
1) Rapid POC Prototype Development (Feasibility + Value)
Build functional POCs that validate AI approaches against well-defined business problems and success metrics.
Translate hypotheses into working prototypes quickly, balancing rigor with speed in short sprint cycles (typically 4–6 weeks).
2) GenAI / LLM Integration & Prompting
Integrate LLM capabilities into prototype applications and workflows.
Apply prompt engineering techniques (structured prompts, few-shot patterns, guardrails) to improve reliability and demo readiness.
Partner with prompt engineering specialists where applicable; otherwise, own prompting as part of prototype delivery.
3) Agentic / Orchestrated Workflows (POC-grade)
Implement multi-step AI workflows that chain model calls and/or tools (POC-grade orchestration).
Assemble reusable patterns (e.g., summarization, unstructured doc processing, routing workflows) that can be used beyond a single POC.
4) Engineering Teamwork & Demo Readiness
Collaborate directly with Data Engineers, UI/UX Engineers, and Product/POC Managers to ensure prototypes are usable and decision-enabling.
Produce demo-ready outcomes that clearly communicate feasibility, limitations, and next steps to partners.
5) Documentation, Reuse & Transition Readiness
Document findings, prompt patterns, design decisions, and constraints in a way that enables reuse across POCs and supports handoff to execution teams.
Contribute to the lab’s growing library of reusable AI patterns and prototype assets.
Click on Apply to know more.