Job Summary

Role: AI Developer

Department: Engineering

Job Type: Full-time

Work Location: Hybrid - Pune

Posted on:

Experience: 2+ years

AI is moving from impressive demonstrations into the operating layer of real businesses. Intelligent systems are beginning to retrieve context, use tools, interpret multiple forms of data and take action across workflows. The difficult work is no longer only getting a model to produce a plausible answer; it is building a system that remains useful, measurable, secure, observable and cost-effective when real users, real data and edge cases arrive.

Genetrix sits at the intersection of customer data, Salesforce and applied AI. We build our own products, create intelligent capabilities for clients and work on problems where technology must produce a business result, not simply a demo. This is an prospect to help shape how Genetrix conceives, evaluates and ships production-grade AI.

Why this role matters. A model can impress in a demo. A product earns trust only when its data, evaluations, engineering and operating decisions hold up in production. You will help make that transition real.

What you will own

- Problem framing and experimentation. Turn open-ended business or product questions into testable hypotheses, prototypes, success criteria and an evidence-led build plan.
- AI system architecture. Design applications and agents that combine models, retrieval, memory, tools, workflows and human hand-offs with clear boundaries and failure paths.
- Data and retrieval. Build reliable ingestion, transformation, indexing and retrieval pipelines; reason carefully about context quality, permissions, freshness and grounding.
- Applied model development.



Select and adapt the right approach across LLMs, classical machine learning and relevant multimodal methods rather than forcing every problem into one pattern.
- Evaluation and safety. Create representative datasets and evaluation loops for response quality, task completion, tool use, latency, cost, robustness and risk; add guardrails where the use case demands them.
- Production engineering. Build maintainable services and APIs; contribute to deployment, monitoring, observability, versioning, incident diagnosis and continuous improvement.
- Integration and product ownership. Connect AI capabilities with enterprise systems and Genetrix products, communicate trade-offs clearly and stay accountable from discovery through adoption.

What success looks like

- You move beyond the prototype. Promising experiments become reliable capabilities that users can understand, adopt and trust.
- You make quality visible. Claims about performance are supported by thoughtful evaluation, production signals and honest analysis, not selective examples.
- You choose the right trade-offs. You balance model quality, latency, cost, security, maintainability and user experience according to the problem.
- You create reusable leverage. The patterns, components and learning you produce make the next intelligent product faster and stronger to build.
- You connect engineering to value. You can explain what the system changes for a customer, user or business and use that understanding to guide technical decisions.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 AI Developer (Pune)
🏢 Genetrix Technology
📍 Pune