AI Agent Engineer – AI Consulting

Experience : 5+ Years Experience

Education : Bachelor's/Master's degree

Work Location : Chennai, India (Chennai/Remote/Hybrid)

Key Responsibilities :

• Build and maintain a centralized Agent Library for reusable components, prompts, and integration adapters.
• Develop agent frameworks and orchestration logic for multi-agent collaboration scenarios.
• Design integration connectors to institutional systems like ERP, SIS, CRM, or document repositories.
• Collaborate with LLM Engineers to improve agent reasoning, memory, and retrieval accuracy.
• Define agent governance frameworks, telemetry, and safety monitoring mechanisms.
• Implement agentic testing frameworks to ensure consistency, explainability, and reliability.
• Continuously benchmark and optimize agent workflows for latency, accuracy, and contextual relevance.

Required Technical Skills :

Agent Frameworks & Architecture

• Expertise in designing and implementing autonomous or semi-autonomous AI agents using frameworks like LangChain, AutoGen, CrewAI, or Semantic Kernel.
• Experience with multi-agent systems, memory management, and tool orchestration.
• Strong understanding of agent life cycle design, task delegation, and context management.

Reusable Agent Components

• Develop modular agent templates, skills, and toolkits that can be easily configured for multiple workflows.
• Build and maintain an enterprise Agent Library with metadata tagging, versioning, and documentation.
• Create reusable connectors for integrating agents with APIs, databases, and business systems.

Integration & Orchestration

• Design workflow orchestration patterns integrating agents with enterprise platforms (ERP, CRM, LMS, or HR systems).
• Implement event-driven architectures using message queues, APIs, or webhook triggers.
• Collaborate with DevOps/MLOps to enable continuous deployment and scaling of AI agents.

LLM & Context Management

• Integrate LLMs (OpenAI, Anthropic, Mistral, or local models) into agent reasoning pipelines.
• Manage context caching, vector retrieval, and memory stores for long-term agent context retention.
• Optimize prompt construction, chaining logic, and tool selection for efficient reasoning.

Governance, Security & Observability

• Implement guardrails, policy-based control, and access-level governance for enterprise AI agents.
• Set up agent telemetry and logging using observability tools (Prometheus, OpenTelemetry, Datadog, or Grafana).
• Ensure agents comply with data security, compliance, and auditability standards.

Programming & Infrastructure

• Strong development skills in Python, TypeScript, or Go, with emphasis on modular, testable design.
• Familiarity with containerization (Docker, Kubernetes) and cloud environments (AWS, Azure, GCP, or OCI).
• Experience with API design, GraphQL, and asynchronous event-driven programming.

Required Skills & Experience :

• 5+ years of experience in AI/ML application development or enterprise integration engineering.
• Proven experience in agent framework development or LLM orchestration systems.
• Deep understanding of API-driven architectures, event streaming, and data integration.
• Hands-on experience with LangChain, AutoGen, CrewAI, or similar frameworks.
• Strong coding and automation skills with a focus on reusability and scalability.
• Experience in testing, evaluating, and deploying AI-driven workflows in enterprise environments.

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Drivestream's Employee Benefits.
Remuneration

Drivestream offers competitive pay and attracts a diverse community of skilled individuals. We recognize the value of investing in our talent.

Medical, Disability and Life Insurance

We provide an array of coverage options including full medical, full dental and vision plans, employee life insurance, LTD and STD coverage, flexible spending account and employee accidental death and dismemberment

Leave Benefits

Drivestream's generous paid leave programs feature vacation/paid time off (PTO), holiday leave and bereavement leave

Professional Development

Our training and development programs include traditional classroom training, online courses, including leadership, communication and project planning development, strategic planning and management programs, and professional society membership incentive

Work/Life Programs

Drivestream offers Work-Life Integration options that help individuals manage their personal and professional responsibilities. Options Include work from home and telecommuting, day care, flexible spending accounts, internal job transfer, and career mobility, and health and wellness programs

Community Involvement

Drivestream believes in supporting community and philanthropic activities that allow our employees to engage in outreach and educational programs.

Awards Programs

Drivestream recognizes and rewards our staff through various annual awards programs.

Retirement Benefits

Drivestream offers complete 401(k) plans and annual profit-sharing contribution.

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