Python Developer at ERNI Philippines

Mandaluyong, Metro Manila, Philippines -

Full Time

Start Date

Immediate

Expiry Date

03 May, 26

Salary

0.0

Posted On

02 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Backend Development, AWS, FastAPI, Flask, LLMs, LangStack, LangChain, LangGraph, Datadog, AI Engineering, Databases, Docker, CI/CD, Cloud Deployment, Event-Driven Architectures

Industry

IT Services and IT Consulting

Description

Founded in 1994 and headquartered in Switzerland, ERNI is a leading Software Development company with over 800 employees worldwide. Specializing in IT and software engineering, we drive innovation in process and technology. Our first service center in Asia Pacific, located in Metro Manila (Mandaluyong), supports clients across Europe, APAC, the Philippines, and the USA. As we continue to grow, we're looking for passionate and motivated individuals to join our team. Why ERNI is the Perfect Place for You: 🏡 • International Exposure: Work with global clients on cutting-edge projects. • Inclusive Culture: Thrive in a collaborative and diverse work environment. • Career Development: Enjoy continuous learning and professional growth opportunities. 🤩Perks and Benefits: • Career Stability: Enjoy a stable career path with ample project opportunities. • Immediate Coverage: Private HMO and insurance benefits from day one. • Jubilee Celebration: A 5-year milestone includes a complimentary trip to any European ERNI sites. • Comprehensive Benefits: Government-mandated benefits including 13th-month pay. • Skill Enhancement: Access free training and certifications. • Baby Basket: To welcome your newborn to the ERNI family. • Fruit Basket: Boost of vitamins during hospitalization. • Office Perks: Enjoy free snacks and coffee. 🔐Growth and Opportunities: • Free Training: Advance your skills through technical and non-technical training. • Challenging Projects: Engage in complex software projects across MedTech, Industry, Finance, and Transportation. • Supportive Environment: Benefit from a team dedicated to guiding and supporting your success. • Recognition and Advancement: Receive acknowledgment for your efforts and opportunities for promotion. • Open Communication: Experience transparency and value your input in our culture. ⏱Flexibility: • Hybrid Work Setup: Balance remote and in-person work for better work-life integration. 🎉Events: • Connect and Celebrate: Participate in a variety of events including leisure, summer, family, social, and year-end gatherings. 👋What are our wishes: Required Skills & Qualifications 3+ years of experience as a Python Backend Developer Strong proficiency in Python and backend frameworks (FastAPI, Flask, etc.) Solid hands-on experience with AWS services (e.g., EC2, Lambda, ECS, S3, RDS, DynamoDB) Production experience with LLMs (commercial and/or open-source models) Strong expertise in the LangStack ecosystem, including: LangChain LangGraph Agent orchestration, tool calling, and prompt chaining Hands-on experience with Datadog for: Application performance monitoring (APM) Logging and metrics Alerting and dashboards Experience integrating AI Engineering technologies, such as: Vector databases and embeddings o Retrieval-Augmented Generation (RAG) Model evaluation and prompt testing frameworks Caching and cost-optimization strategies for LLMs Experience with relational and/or NoSQL databases Familiarity with Docker, CI/CD pipelines, and cloud deployment workflows Nice to Have Experience with vector databases (Pinecone, Weaviate, FAISS, OpenSearch, etc.) Familiarity with LLM observability and evaluation tools (e.g., LangSmith, OpenTelemetry, custom eval pipelines) Knowledge of MLOps or AI platform tooling Experience with event-driven or serverless architectures Awareness of emerging trends in LLMs, agentic systems, and AI infrastructure 💼How can you contribute to the team? Design, develop, and maintain scalable backend services using Python Build, deploy, and operate cloud-native applications on AWS Develop and productionize LLM-based applications using LangChain, LangGraph, and related frameworks Design agentic workflows, chains, and tool integrations using LangStack components Integrate LLMs with APIs, databases, vector stores, and external services Implement robust monitoring, logging, and alerting using Datadog Ensure system reliability, performance, and cost efficiency in production Apply AI Engineering best practices including prompt versioning, evaluation, guardrails, and model observability Collaborate with cross-functional teams to translate product requirements into technical solutions Write clean, testable, and well-documented code Participate in architectural decisions and code reviews Debug, optimize, and continuously improve existing systems

Responsibilities

Design, develop, and maintain scalable backend services using Python. Collaborate with cross-functional teams to translate product requirements into technical solutions.