Accellor · 17 hours ago
Lead AI Engineer
Accellor is an AI-native services firm focused on delivering measurable business outcomes through advanced AI, data, and engineering capabilities. The Lead AI Engineer will architect and deliver next-generation Agentic AI solutions, leading the design and implementation of autonomous systems that enhance marketing efforts and customer engagement.
Artificial Intelligence (AI)SoftwareInformation Technology
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
Qualification
Required
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
Deep hands-on experience with: LangGraph
Deep hands-on experience with: 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.
Company
Accellor
Accellor is a premier provider of Mobile,Social and Web solutions enabling enterprises to provide a unified customer experience.
H1B Sponsorship
Accellor has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8)
2024 (3)
2023 (5)
Funding
Current Stage
Growth StageCompany data provided by crunchbase