Senior AI Engineer

Posted 10 Days Ago
Be an Early Applicant
13 Locations
Remote
Senior level
Artificial Intelligence • Software
The Role
Seeking a Senior AI Engineer to build production-ready AI systems focusing on agentic AI and large language models, working with a variety of technologies.
Summary Generated by Built In

Senior AI Engineer - LATAM
This position offers you the opportunity to join a fast-growing technology organization that is redefining productivity paradigms in the software engineering industry. Thanks to our flexible, distributed model of global operation and the high caliber of our experts, we have enjoyed triple digit growth over the past five years, creating amazing career opportunities for our people.

If you want to accelerate your career working with like-minded subject matter experts, solving interesting problems and building the products of tomorrow, this opportunity is for you.

Parser is seeking an experienced AI Engineer to join our innovative team. The ideal candidate will have a strong background in building production-ready AI systems, with a focus on agentic AI and large language models.

Must-Have Skills

  • Python expert with production experience building APIs/services (FastAPI/Flask/Django), REST/GraphQL
  • Hands-on experience with agentic AI: LangChain and LangGraph (stateful workflows, planners, tools, memory, error handling, retries, concurrency)
  • Proficiency in A2A (agent-to-agent) interaction patterns and multi-agent orchestration in production (e.g: AutoGen, CrewAI, etc).
  • Experience with MCP (Model Context Protocol): building/consuming MCP tools/servers; integrating model-context tools safely
  • LLM integration across major providers (OpenAI, Anthropic, Azure OpenAI); function/tool calling, structured outputs (JSON Schema), prompt engineering
  • Expertise in Retrieval-augmented generation (RAG): embeddings, chunking, indexing; vector databases (Pinecone, Weaviate, Qdrant, FAISS); reranking basics
  • Full-stack delivery: React/Next.js with TypeScript and component libraries; secure auth flows; building internal dashboards
  • Cloud and DevOps: Docker, CI/CD (GitHub Actions/GitLab), at least one major cloud (AWS/Azure/GCP), secrets management, environment promotion
  • Security/compliance for enterprise: OAuth/SSO, RBAC, audit logging, PII handling, encryption, least-privilege
  • Testing and observability: pytest, integration/e2e tests, tracing/logging (OpenTelemetry), metrics, feature flags
  • AI developer tools proficiency: GitHub Copilot and QDev (or similar), prompt/version management, code review with AI
  • Strong Git workflows, code reviews, documentation; Agile delivery in cross-functional teams

Nice-to-Have Skills

  • Additional agent frameworks and patterns: AutoGen, DSPy, LlamaIndex; workflow DAGs, checkpointing, long-term memory
  • Advanced RAG: hybrid search, GraphRAG/knowledge graphs (Neo4j), rerankers (cross-encoders), query planning, guardrails
  • Model serving and optimization: vLLM, Ray Serve, Triton, Ollama; caching, batching, cost/latency trade-offs
  • Evals and quality: LangSmith, RAGAS, DeepEval, custom eval harnesses; offline/online metrics, human-in-the-loop review
  • Event-driven and async systems: Kafka/PubSub, Celery/Redis queues, websockets/SSE, streaming tokens
  • Datastores and caching: Postgres, Redis, Elastic/OpenSearch; schema design, migrations, performance tuning
  • MLOps: MLflow/W&B, experiment tracking, model registry, feature stores, data versioning (DVC)
  • Infra as code and platform: Terraform/Pulumi, Kubernetes, Helm; on-prem/VPC deployments, network/security hardening
  • Frontend depth: design systems, accessibility, data viz (ECharts/D3), performance profiling
  • Compliance and privacy: GDPR, SOC 2, ISO 27001, audit readiness in AI systems
  • Enterprise integrations: Microsoft 365/SharePoint, ServiceNow, Slack/Teams bots, SSO/SCIM
  • Domain context: professional services/finance workflows, document/intelligence automation
  • Tooling ecosystem: building custom MCP tools, code-interpreter/sandboxed execution, browser and SaaS connectors

If you're passionate about pushing the boundaries of AI technology and have the skills to match, we'd love to hear from you. Join Parser and help shape the future of intelligent systems!

Top Skills

Anthropic
Autogen
AWS
Azure
Azure Openai
Crewai
Django
Docker
Faiss
Fastapi
Flask
GCP
Github Actions
Gitlab
GraphQL
Langchain
Langgraph
Model Context Protocol
Next.Js
Oauth
Openai
Opentelemetry
Pinecone
Pytest
Python
Qdrant
Rbac
React
Rest
Retrieval-Augmented Generation
Typescript
Weaviate
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The Company
HQ: London
174 Employees
Year Founded: 2018

What We Do

At Parser we help organisations leverage on digital to advance their business strategy.

For us, creativity, talent, and passion are indispensable to succeed. This is why we are committed to building, nurturing, and empowering a diverse, multi-disciplinary environment, where every team member can grow professionally and achieve their ambitions, while helping our clients deliver amazing digital products.

Thanks to our flexible, distributed model of global operation and the high calibre of our experts, we have enjoyed triple digit growth over the past five years, creating amazing career opportunities for our people across 4 continents.

Our services:

- Digital Strategy & Transformation

We help you understand market trends, relevant technologies, and aligned with your business strategy we create your vision and set the digital direction. This enables you to focus efforts and integrate business and technology across your organisation.

- Digital Portfolio Management

Based on a clear vision and direction, we help you assess your position, execute your digital strategy and manage your portfolio. We do this by integrating a range of diverse business and technical practises, transforming your organisation in the process.

- Product & Service Development

We help you create new experiences by designing user journeys that bridge all of the relevant departments of your organisation. By harnessing our ecosystem of specialised talent, we can provide relevant and focused expertise on demand.

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