AI/ML Engineer -June 2026

AI/ML Engineer Generative & Agentic AI

Job Title: AI/ML Engineer

Company: Express Analytics (EA)

Location: Remote

Employment Type: Fulltime

Experience: 1-3 Years

Salary: Competitive, up to market standards

About Express Analytics

Express Analytics builds AIpowered marketing and customer analytics solutions for global clients, combining data engineering, ML, and generative AI to drive measurable business outcomes. Youll work on production systems that power agentic marketing workflows, customer analytics products, and domainspecific GenAI applications.

Role overview

As an AI/ML Engineer, you will design, build, and ship machine learning and generative AI solutions endtoendfrom problem definition and modeling through to deployment, monitoring, and iteration. You will work closely with product, data, and engineering teams to turn business requirements into robust models and agentic workflows that run reliably in production.

What youll do

Design and build ML & GenAI pipelines

Own endtoend pipelines for recommendation, forecasting, customer analytics, and generative/NLP workloads (including retrieval, chunking, and summarization).

Select and implement appropriate models (classical ML, deep learning, and LLMbased approaches) based on usecase constraints.

Agentic / LLM systems engineering

Implement multistep and multiagent workflows using LLM frameworks (e.g., LangChain, LangGraph or similar) with tools, memory, and external API integrations.

Build and refine RAG pipelines: document preprocessing, embeddings, retrieval strategies, evaluation, and guardrails.

Productization & backend integration

Productionize models behind APIs and microservices using Python (FastAPI or similar) and integrate with existing product backends and frontends.

Implement CI/CD for ML services, containerize workloads (Docker), and collaborate on cloud deployment (e.g., GCP/AWS/Azure).

Experimentation, evaluation, and optimization

Define success metrics, design experiments, and run systematic evaluations for both discriminative models and LLMbased systems.

Optimize for latency, cost, and reliability; profile and tune models, prompts, and infrastructure.

Data and analytics collaboration

Work with data engineers to ensure highquality feature and event data, and with analytics teams to translate insights into models and agents that drive impact.

Documentation and technical leadership

Maintain clear documentation of architectures, experiments, and decisions.

Mentor interns/junior members on ML/LLM best practices and engineering hygiene where relevant.

What were looking for

Experience

1-3 years of hands-on experience building and deploying ML models or LLMbased systems in production (can include strong startup or productfocused experience).

Core technical skills

Strong proficiency in Python and ML stack: pandas, NumPy, scikitlearn; experience with at least one deep learning framework (PyTorch or TensorFlow).

Solid understanding of ML fundamentals: supervised/unsupervised learning, evaluation metrics, feature engineering, model validation.

Practical experience with LLMs (OpenAI, Anthropic, opensource models etc.) including prompt design, finetuning or instruction tuning, and/or RAG.

Agentic & GenAI skills (nice to have but highly valued)

Experience with LLM orchestration frameworks (LangChain, LangGraph, CrewAI, or similar) to build toolsusing or multiagent systems.

Experience designing retrieval systems: vector databases, embeddings, chunking strategies, and evaluation of generative outputs.

Software engineering & data skills

Experience building APIs/microservices (FastAPI/Django/Flask or Node) and integrating with frontends or partner systems.

Familiarity with SQL, basic data modeling, and working with warehouses or data lakes.

Experience with Git, Docker, and CI/CD pipelines; familiarity with cloud services (GCP/AWS/Azure).

Nice to have

Experience in marketing tech, customer analytics (e.g., Google Ads, attribution, MMM, LTV modeling).

Experience with analytics/BI tooling and experimentation (dashboards, A/B tests).

Prior work on voice/agents, conversational AI, or domainspecific document AI. AI/ML Engineer Generative & Agentic AI

Job Title: AI/ML Engineer

Company: Express Analytics (EA)

Location: Remote

Employment Type: Fulltime

Experience: 1-3 Years

Salary: Competitive, up to market standards

About Express Analytics

Express Analytics builds AIpowered marketing and customer analytics solutions for global clients, combining data engineering, ML, and generative AI to drive measurable business outcomes. Youll work on production systems that power agentic marketing workflows, customer analytics products, and domainspecific GenAI applications.

Role overview

As an AI/ML Engineer, you will design, build, and ship machine learning and generative AI solutions endtoendfrom problem definition and modeling through