Developing agent - based automation solutions using intelligent automation principles for enterprise systems integration and orchestration. Collaborating with teams to ensure solution scalability and reliability.
About the role
- Lead AI Engineer focusing on architecting and delivering Agentic AI solutions for marketing. Drive personalization, content generation, and intelligent customer engagement with advanced AI systems.
Responsibilities
- Design and implement production-grade agentic AI systems using frameworks such as LangChain, LangGraph, and other open-source LLM orchestration tools
- Build multi-agent workflows with memory, tool use, reasoning chains, and autonomous decision-making
- Develop RAG (Retrieval-Augmented Generation) systems integrated with marketing data sources
- Implement evaluation, guardrails, observability, and continuous improvement loops
- Architect scalable AI systems using AWS services
- Deploy and manage AI agents in secure, production cloud environments
- Implement CI/CD and MLOps best practices for model lifecycle management
- Build AI-driven solutions for:
- Campaign content generation
- Customer segmentation and targeting
- Conversational marketing agents
- Lead qualification agents
- Performance analytics automation
- Integrate AI agents with CRM, CDP, marketing automation, and analytics platforms
- Collaborate with marketing stakeholders to translate business needs into AI-driven workflows
- Provide technical leadership and architecture direction for AI initiatives
- Mentor engineers and establish engineering standards for AI systems
- Define best practices around prompt engineering, model selection, safety, and responsible AI
- Drive evaluation frameworks for LLM accuracy, cost optimization, and performance
Requirements
- 8+ years of software engineering experience, with 3+ years in AI/LLM systems
- Proven experience building and deploying Agentic AI systems in production
- Deep hands-on experience with:
- LangChain
- LangGraph
- Open-source LLM orchestration frameworks
- Strong experience with AWS AI ecosystem, especially Bedrock and SageMaker
- Experience building RAG systems with vector databases (Pinecone, OpenSearch, Weaviate, etc.)
- Strong Python engineering background
- Experience building APIs and integrating AI systems with enterprise platforms
- Experience designing scalable cloud-native architectures
Benefits
- **Exciting Projects:** We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.****Collaborative Environment:** You can expand your skills by collaborating with a diverse team of highly talented people.****Work-Life Balance: **Accellor prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.****Professional Development:** Our dedicated Learning & Development team regularly organizes Communication skills training, Stress Management program, professional certifications, and technical and soft skill training.****Excellent Benefits:** We provide our employees with competitive salaries, family medical insurance, Personal Accident Insurance, Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.
- **Disclaimer**
- Accellor is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic
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