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5 Days ago

Sr Generative AI Engineer / Sr Artificial Intelligence Engineer

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Pune, Maharashtra, India
Space Exploration & Research, Information Technology
Full-Time
techolution

Overview

Techolution is the World's #1 AI Acceleration Partner and the inventor of BPA 4.0, an innovative AI platform that combines Generative AI with Cognitive Decisioning and Instant Learning to deliver guaranteed ROI from enterprise AI in 30 days or less. We specialize in accelerating AI adoption for enterprises, offering solutions in Generative AI, Machine Learning, Cloud Migration (as a Google Premier Partner), Digital Modernization, App Design & Development, AI Data Readiness, and AI Managed Services—driving measurable efficiency gains (e.g., up to 42x in 30 days), cost savings, and real-world impact across industries like Healthcare, Media, Government, Retail, Banking, and Life Sciences.

We are seeking a visionary Sr Generative AI Engineer to lead the design and deployment of our next-generation AI ecosystem. This is not a role for simply calling APIs—you will architect autonomous agentic workflows, build scalable RAG pipelines, and connect intelligence to real-world business actions.

The ideal candidate brings deep architectural expertise in LLMs (Transformers, Mixture-of-Experts), proven experience in production-grade agentic systems, and a passion for turning advanced AI into measurable enterprise impact.

Title: Sr Generative AI Engineer / Sr Artificial Intelligence Engineer

Location: Hyderabad, Telangana, India

Employment Type: FTE

What You’ll Do:

  • Design and own end-to-end RAG pipelines, including data ingestion, chunking, embedding generation, advanced retrieval (hybrid search, reranking), evaluation, monitoring, and continuous improvement for production reliability and business value.
  • Architect and implement multi-agent systems that operate autonomously—making decisions, calling tools/APIs, interacting with databases, and orchestrating complex workflows.
  • Build robust function calling/tool-use patterns and agent orchestration layers (using frameworks like LangGraph, CrewAI, or similar).
  • Work hands-on with state-of-the-art LLMs (Transformers, Mixture-of-Experts, etc.) and integrate the latest models from OpenAI, Google Gemini (strongly preferred), and Anthropic.
  • Develop production-grade Python services using FastAPI/Flask + Celery for asynchronous, scalable AI workloads.
  • Collaborate cross-functionally with product, engineering, and business teams to deliver explainable, trustworthy, and high-impact AI solutions.
  • Own the full AI system lifecycle—from experimentation and prototyping to production deployment, monitoring, scaling, and iteration.

Required skills:

  • Deep architectural understanding of modern LLM architectures, including Transformers, Mixture-of-Experts (MoE), attention mechanisms, and advanced inference/training techniques.
  • Hands-on production experience with state-of-the-art models from OpenAI, Google Gemini (strongly preferred), and Anthropic.
  • End-to-end ownership of production RAG pipelines, including ingestion, chunking, embedding, advanced retrieval strategies (hybrid, reranking), evaluation, monitoring, and scaling for enterprise reliability and impact.
  • Proven expertise in designing and building agentic workflows, multi-agent systems, autonomous decision-making agents, orchestration (e.g., LangGraph, CrewAI, or equivalent), function calling, and tool integration.
  • Expert-level experience deploying multi-agent systems with robust coordination, fault-tolerant execution, and orchestration.
  • Strong proficiency in function calling, tool use/integration, and connecting LLMs to external APIs, databases, monitoring systems, and real-world actions.
  • Advanced Python proficiency, with experience building scalable services using FastAPI or Flask, plus Celery for distributed task queues and asynchronous processing.
  • Solid software engineering fundamentals: Data Structures & Algorithms (DSA), OOP, design patterns, and large-scale system design.

Preferred / Advanced Skills

  • Prior hands-on experience with Google Agent Development Kit (ADK) and Gemini Enterprise for building, governing, and deploying custom AI agents.
  • Familiarity with advanced agent frameworks, memory systems, planning/reasoning loops, and observability in agentic applications.
  • Experience implementing enterprise-grade AI governance, safety, compliance, and explainability features.

About Techolution:

Techolution is the world's #1 AI Acceleration Partner and the inventor of BPA 4.0, the groundbreaking AI platform that delivers guaranteed ROI from enterprise AI in 30 days or less.

With over 10+ years of experience, we specialize in turning AI into measurable business value—helping global enterprises achieve dramatic efficiency gains (like 42x improvements in key processes), modernize legacy systems, migrate to the cloud (as a Google Premier Partner), and deploy custom AI solutions across industries such as healthcare, manufacturing, media, banking, government, and life sciences.

Our mission is simple yet powerful: "TURN AI INTO ROI" — where it matters most. We go beyond generic AI by offering risk-free innovation, including our 100k Challenge (2x quantifiable savings in 100 days or your money back), rapid diagnostics via BPA Value Finder, and AI-powered managed services that deliver twice the quality at half the cost.

Backed by 12 patents, 5 notable awards (including Inc. 5000 recognition), 2 published books, and a track record of solving real-world challenges—from patient prioritization during COVID-19 to quality control in supply chains and air quality monitoring—we empower teams to thrive in an AI-driven future.

At Techolution, we're building "innovation done right" with a passionate, collaborative team focused on delivering next-level impact, workforce enablement, and trustworthy, enterprise-scale automation. Join us to be part of redefining how businesses operate with AI.

Visit us @www.techolution.com : To know more about our revolutionary core practices and getting to know in detail about how we enrich the human experience with technology.

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