Associate GenAI Engineer

5 days ago

Bengaluru, Karnataka, India Reconect Full time ₹ 12,00,000 - ₹ 24,00,000 per year

Introduction:

is building autonomous AI Workforce for Debt collection. Our platform empowers AI agents that don't just talk — they think, plan, and act. These agents understand data, predict intent, choose the right strategies, and execute personalized communication flows across channels — all while staying compliant.

We integrate LLMs, event-driven orchestration, multilingual response handling, and contextual decision-making to transform how collections are planned and executed. As a GenAI/ML Engineer, you'll design how our agents reason, respond, and adapt — by developing prompts, finetuning models, and optimizing behavior through routing and memory — making them more reliable, responsive, and effective with each interaction.

Responsibilities:

  • LLM Prompt Engineering & Optimization:
    Design and refine system prompts, few-shot examples, and dynamic flows tailored for multilingual debt collection scenarios.
  • Open-Source Model Finetuning:
    Adapt LLMs (e.g., LLaMA, Mistral) using LoRA, DPO, or SFT techniques on domain-specific data like chat transcripts and disposition labels.
  • Model Evaluation & Behavior Control:
    Define and run evaluations across metrics like accuracy, tone, latency, and compliance. Tune models to behave predictably in production.
  • RAG & Embedding Systems:
    Build RAG pipelines and maintain vector DBs to give agents contextual awareness, memory, and grounding in past customer history.
  • Multilingual & Language Handling:
    Build language-aware agents capable of seamless code-switching and context-appropriate responses across Hindi, English, and other Indian languages.

Qualifications:

  • Education:
    Bachelor's or Master's in Computer Science, AI/ML, or a related field.
  • LLM/GenAI Experience:
    1–3 years of hands-on work with open-source LLMs (e.g., LLaMA, Mistral, etc).
  • Prompt Engineering:
    Experience crafting production-ready prompts for conversational use cases with constraints like compliance, multilingual tone, and escalation handling.
  • Finetuning Expertise:
    Practical knowledge of LoRA, QLoRA, PEFT, DPO, or SFT — and how to apply them at scale.
  • Python & Tooling:
    Strong Python skills; experience with Hugging Face, vector DBs, and inference tuning.
  • Conversational Data:
    Comfortable working with chat logs, annotation formats, and outcome-linked training data.
  • System Thinking:
    Ability to think holistically about models, prompts, routing logic, and real-time deployment.

Why Join Us?

  • Own Core GenAI Capabilities:
    You won't just be a cog—you'll be the engineer shaping how our AI talks, learns, and adapts in a high-stakes production use case.
  • High Impact, Real Users:
    Your work directly affects thousands of customers across India, making collections more humane and effective.
  • Cutting-Edge Stack:
    Work with open-source LLMs, multilingual pipelines, and Omnichannel AI Agents in a real-world product.
  • Flexible and Focused Team:
    Join a small, agile team that deeply values execution, creative problem-solving, and shipping fast.

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