Job Description

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.
APPLY

Close

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.