Birlasoft
Website:
birlasoft.com
Company:
https://www.linkedin.com/company/birlasoft
Seniority: Not Applicable
Industries: IT Services and IT Consulting
Job details:
Area(s) of responsibility
We are hiring hands-on Developers and Engineers to design, build, and deploy production-grade Agentic AI solutions on Aisera and similar platforms (ServiceNow AI and open agent frameworks) across client engagements. You will develop autonomous and multi-agent systems that reason, plan, and execute — integrating LLMs with enterprise systems to automate ITSM, operations, and business workflows, and remaining hands-on through to delivery.
Key Responsibilities
- Develop, configure, and deploy AI agents using Aisera’s platform and comparable agentic AI toolsets to solve real-world client workflows.
- Build autonomous and multi-agent systems capable of planning, reasoning, tool selection, and task execution.
- Design and implement RAG pipelines, function/tool calling, memory and context management, and agent orchestration.
- Integrate agents with external systems — APIs, webhooks, databases, CRMs, ITSM platforms, and data pipelines — for seamless workflow execution.
- Apply prompt engineering and configuration tuning to optimize agent accuracy, latency, and cost in complex enterprise environments.
- Translate business requirements into functional and technical agent designs; run interactive demos and PoCs and iterate on feedback.
- Build scalable backend services/microservices for AI applications; ensure testing, monitoring, and CI/CD best practices.
- Implement AI governance, security, and compliance controls (auth flows, responsible-AI safeguards, observability of agent behavior).
- Troubleshoot, monitor, and continuously improve deployed agents using data-driven evaluation (A/B testing, performance monitoring).
Required Skills & Experience
- 8–12 years in software development, AI/ML engineering, or systems integration, with recent hands-on Agentic AI / LLM delivery.
- Hands-on experience with Aisera or comparable agentic AI / conversational AIOps platforms (ServiceNow AI Agents, Automation Anywhere, similar).
- Strong programming in Python (primary), plus Java and/or JavaScript; clean, efficient, production-quality code.
- Proven experience building agents with LLM frameworks — LangChain, LangGraph, CrewAI, AutoGen, or PydanticAI.
- Solid understanding of LLMs, embeddings, vector databases, RAG, function calling, and agent evaluation.
- Experience with Model Context Protocol (MCP) and multi-agent architectures (preferred).
- Integration experience: REST APIs, webhooks, data pipelines; OAuth/OIDC/JWT authorization flows.
- Cloud & DevOps: AWS, Azure, or GCP, containerization (Docker/Kubernetes), CI/CD, and monitoring.
- Familiarity with AI/LLM observability tooling (Langfuse, ELK) is highly desirable.
- Strong problem-solving, customer-facing communication, and the ability to work independently.
Qualifications
- Bachelor’s or Master’s in Computer Science, AI, Data Science, or a related field.
- Relevant cloud/AI certifications are a plus.
- Knowledge of AI governance frameworks (e.g., ISO/IEC 42001) is a nice-to-have.
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